Learning-by-exporting versus self-selection: New evidence for 19 sub-Saharan African countries

We examine learning-by-exporting effects of manufacturing and services firms in 19 sub-Saharan African countries. Comparing several outlier-robust estimators, our results provide evidence for positive effects in the manufacturing sector when using the MM estimator, but not in the services sector.     

Political participation and entrepreneurial initial public offerings in China

This paper examines the economic consequences of political participation by entrepreneurs in China. Using unique data on political participation and initial public offerings by entrepreneurial firms, we find that firms controlled by entrepreneurs who participate in politics exhibit superior post-IPO performance. We also find that firms characterized by political participation are subject to less underpricing. Furthermore, the superior performance is concentrated among firms that operate in an environment characterized by rich rent-seeking opportunities instead of abundant business opportunities, suggesting that political participation is facilitating rent seeking rather than serving simply as a proxy for political recognition for entrepreneurship.     

Managing in turbulence: how the capacity for resilience influences creativity

How do companies manage to compete in a marketplace marked by turbulence, and not be outcompeted? In our study we assess the resources used to create resilience in organizations and how each of these resources relates to organizational creativity. We show that organizational resilience is positively related to organizational creativity. Specifically, our study highlights that cognitive, emotional, and structural resources are important resources for organizations wanting to become creative. Our results are based upon a pilot in‐depth qualitative case study followed by a survey of medium‐sized firms. The results in our study advance the emergent literature on resilience and on the practical applications of resilience in organizations. From a practical point of view, managers may realize that they have to develop a capacity for resilience (i.e. what they have to do) in order to have a creative organization, but a far bigger challenge is to understand the how; how the capacity for resilience is built. Our research shows that if managers truly want to manage in turbulence and still have a creative organization, they need to put a strong emphasis on the soft skills in the organization, in addition to the structural resources.     

Welfare Effects of Changing Technological Efficency in Regulated Open-Access Fisheries

Environmental and Resource Economics - Small-scale fisheries often operate under conditions of regulated open access; that is, the fishery is subject to natural or regulatory constraints on fishing...     

Affective Computing in Marketing: Practical Implications and Research Opportunities Afforded by Emotionally Intelligent Machines

After years of using AI to perform cognitive tasks, marketing practitioners can now use it to perform tasks that require emotional intelligence. This advancement is made possible by the rise of affective computing, which develops AI and machines capable of detecting and responding to human emotions. From market research, to customer service, to product innovation, the practice of marketing will likely be transformed by the rise of affective computing, as preliminary evidence from the field suggests. In this Idea Corner, we discuss this transformation and identify the research opportunities that it offers.

     

Students’ knowledge of emerging technology and sustainability through a design activity in technology education

International Journal of Technology and Design Education - The purpose of this study is to explore whether, and if so how, a design activity could encourage students to express and develop...     

Vox Populi,Vox Dei? Tacit collusion in politics

We study competition between political parties in repeated elections with probabilistic voting. This model entails multiple equilibria, and we focus on cases where political collusion occurs. When parties hold different opinions on some policy, they may take different policy positions that do not coincide with the median voter's preferred policy platform. In contrast, when parties have a mutual understanding on a particular policy, their policy positions may converge (on some dimension) but not to the median voter's preferred policy. That is to say, parties can tacitly collude with one another, despite political competition. Collusion may collapse, for instance, after the entry of a new political party. This model rationalizes patterns in survey data from Sweden, where politicians on different sides of the political spectrum take different positions on economic policy but similar positions on refugee intake—diverging from the average voter's position, but only until the entry of a populist party.     

Deep empirical risk minimization in finance: Looking into the future

Many modern computational approaches to classical problems in quantitative finance are formulated as empirical loss minimization (ERM), allowing direct applications of classical results from statistical machine learning. These methods, designed to directly construct the optimal feedback representation of hedging or investment decisions, are analyzed in this framework demonstrating their effectiveness as well as their susceptibility to generalization error. Use of classical techniques shows that over-training renders trained investment decisions to become anticipative, and proves overlearning for large hypothesis spaces. On the other hand, nonasymptotic estimates based on Rademacher complexity show the convergence for sufficiently large training sets. These results emphasize the importance of synthetic data generation and the appropriate calibration of complex models to market data. A numerically studied stylized example illustrates these possibilities, including the importance of problem dimension in the degree of overlearning, and the effectiveness of this approach.     

Neither market nor hierarchy—coordination costs in the allocation of track capacity in the Swedish railway network

Transaction costs have been an issue since the advent of the deregulation of the European railway markets in the 1990s. Transaction cost economics received renewed attention in research on the deregulated railway markets in the EU after the publications of two influential reports in the early 2010s. In this article, we develop a model that enables classification and measurement of transaction costs and other coordination costs in deregulated markets. This model is then used to analyze the costs of path allocation in the Swedish railway sector and to compare the results with findings in previous research. We also discuss the economic rationale of the distribution of coordination costs among the involved parties. Our key empirical findings are that the total coordination costs in the Swedish market-mimicking path allocation process are as low as or lower than the most cost-efficient market coordination processes studied in railway markets, and that the state administrations take on nearly all the coordination costs in order to minimize the effects of opportunism, rent-seeking and information impactedness. Another finding is that the size of the coordination costs found by different studies seems to be dependent on whether a bottom-up or a top-down approach is used.